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Contract Machine Learning Startup Jobs in California

Swish Analytics

Machine Learning Engineer

San Francisco, CA · On-site +1

$160K/yr

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of ... The Data Science team is hiring an experienced Machine Learning Engineer with a background building ...

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$135K - $200K/yr

Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will * Conceptualize, develop, and deploy machine learning models that ...

Ema

Software Engineer, Machine Learning

Bodega Bay, CA · On-site

$135K - $200K/yr

Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will * Conceptualize, develop, and deploy machine learning models that ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123.10K - $169.10K/yr

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have ... We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ...

Goodfire

Machine Learning Engineer

San Francisco, CA

$200K - $400K/yr

About the role We're looking for Machine Learning Engineers to help build our platform for training ... Startup or frontier lab experience in fast-moving teams. Our values Goodfire is looking for ...

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Contract Machine Learning Startup information

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the most commonly searched types of Machine Learning Startup jobs in California? The most popular types of Machine Learning Startup jobs in California are:
What are popular job titles related to Contract Machine Learning Startup jobs in California? For Contract Machine Learning Startup jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Startup jobs in California look for? The top searched job categories for Contract Machine Learning Startup jobs in California are:
What cities in California are hiring for Contract Machine Learning Startup jobs? Cities in California with the most Contract Machine Learning Startup job openings:
Contract Machine Learning Startup jobs near you

Director of Machine Learning (San Francisco)

Meet Life Sciences

San Francisco, CA • Hybrid

$250K - $275K/yr

Full-time

Medical, Vision, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Get AI-powered advice on this job and more exclusive features.

This range is provided by Meet Life Sciences. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$250,000.00/yr - $275,000.00/yr

Additional compensation types

Annual Bonus

Associate Recruiter - Medical Device, Biotech, & Pharma

Summary:

We are working with a Medical Device organization looking for a Director of Machine Learning. If you're passionate about machine learning, neuroscience, and making a measurable difference in people’s lives, this is a unique opportunity to apply your skills in one of the most meaningful applications of AI today.

Responsibilities:

  • Own the machine learning roadmap and strategy
  • Build and lead a growing team of engineers
  • Collaborate with clinical teams to design ML systems grounded in real-world needs
  • Develop scalable, auditable, and explainable models for interpreting neural signals
  • Balance short-term deliverables with long-term R&D strategy
  • Represent the ML function across leadership and cross-disciplinary initiatives

Qualifications:

  • Degree in Computer Science, Electrical Engineering, or similar
  • 8+ years of experience in machine learning or applied research; 3+ years in a leadership role
  • Proven track record in medical devices, defense, aerospace, or automotive industries
  • Deep expertise in time series and high-dimensional signal data
  • Strong track record of developing ML systems for complex, high-dimensional data
  • Proficiency with modern ML tools and frameworks (e.g., PyTorch, TensorFlow)
  • Experience in regulated tech (medical devices, robotics, etc.)
Seniority level
  • Director
Employment type
  • Full-time
Job function
  • Medical Equipment Manufacturing

Referrals increase your chances of interviewing at Meet Life Sciences by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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